--- wagl: algorithm_information: algorithm_version: 2.0 nbar_doi: http://dx.doi.org/10.1109/JSTARS.2010.2042281 nbar_terrain_corrected_doi: http://dx.doi.org/10.1016/j.rse.2012.06.018 ancillary: aerosol: id: - 3e541f52-5aa3-541a-a508-e57b8266f863 tier: AATSR_CMP_MONTH value: 0.09178926050662994 brdf: alpha_1: band_1: 0.21761656087009515 band_2: 0.21760493496012212 band_3: 0.3341283006511027 band_4: 0.22010424519581775 band_5: 0.5585023477806286 band_6: 0.2856621565856732 band_7: 0.17725731151821314 band_8: 0.277081754477691 alpha_2: band_1: 0.2421684588535581 band_2: 0.24216789404057623 band_3: 0.2262925274582323 band_4: 0.24369320098895825 band_5: 0.14480139205605766 band_6: 0.19881856022951996 band_7: 0.23124231412416552 band_8: 0.23499301494096198 id: - 404832a5-b87a-561a-a970-997af690567f tier: DEFINITIVE elevation: id: - 27ca9489-8222-5117-96f6-2af42655c604 - 8ad73086-72cf-561a-aa0f-1e3c64d53384 ozone: id: - 996d2a44-c4de-5d21-ad4c-fe5382829740 tier: DEFINITIVE value: 0.288 water_vapour: id: - ff687801-72af-5a40-b4d6-cf092b7a1a3f tier: DEFINITIVE value: 3.8200000762939457 id: 06692063-73ce-43a2-8563-377c96dbf86f parameters: buffer_distance: 8000 esun: BAND-1: 2011.2356349411768 BAND-2: 2085.4503368182222 BAND-3: 1912.8884633236678 BAND-4: 1598.3505065583358 BAND-5: 973.0634552251357 BAND-6: 245.71205726720612 BAND-7: 83.62340877474537 BAND-8: 1799.3629825302219 method: 2 normalized_solar_zenith: 45.0 rori: 0.52 vertices: - 3 - 3 source_datasets: acquisition_datetime: 2022-11-25 00:18:33.546967Z atime: 2023-01-04 10:41:50Z ctime: 2022-12-06 09:28:18Z mtime: 2022-12-05 21:08:57Z owner_id: '6927' platform_id: LANDSAT_8 sensor_id: OLI source_level1: /g/data/da82/AODH/USGS/L1/Landsat/C2/095_076/LC80950762022329/LC08_L1TP_095076_20221125_20221205_02_T1.tar system_information: hostname: gadi-cpu-clx-1039.gadi.nci.org.au runtime_id: 17ca3e86-8c1f-11ed-8356-0000018ffe80 time_processed: 2023-01-04 11:01:08.932936Z uname: 'Linux gadi-cpu-clx-1039.gadi.nci.org.au 4.18.0-372.26.1.el8.nci.x86_64 #1 SMP Mon Sep 19 12:09:59 AEST 2022 x86_64' gqa: colors: blue: 0.0 green: 90.0 red: 0.0 teal: 6.0 yellow: 0.0 error_message: no errors final_qa_count: 61 granule: LC80950762022329LGN00 ref_date: '2014-04-25T00:00:00+00:00' ref_source: GQA_v3 ref_source_path: /g/data/v10/eoancillarydata/GCP/GQA_v3/wrs2/095/076/LC80950762014115LGN00_B6.TIF residual: abs: x: 0.14 xy: 0.21 y: 0.16 abs_iterative_mean: x: 0.09 xy: 0.16 y: 0.13 cep90: 0.26 iterative_mean: x: -0.09 xy: 0.15 y: 0.12 iterative_stddev: x: 0.07 xy: 0.11 y: 0.09 mean: x: -0.1 xy: 0.14 y: 0.1 stddev: x: 0.16 xy: 0.24 y: 0.18 fmask: parameters: cloud_buffer_distance_metres: 0.0 cloud_shadow_buffer_distance_metres: 0.0 frantz_parallax_sentinel_2: false percent_class_distribution: clear: 58.38184620731457 cloud: 37.65239944304618 cloud_shadow: 3.9450413732573444 snow: 2.450949755284922e-06 water: 0.020710525432157588 software_versions: - name: modtran url: http://www.ontar.com/software/productdetails.aspx?item=modtran version: 6.0.1 - name: wagl url: https://github.com/GeoscienceAustralia/wagl version: 5.9.0 - name: eugl url: https://github.com/OpenDataCubePipelines/eugl version: 0.6.1 - name: gverify url: version: v0.25c - name: fmask url: https://www.pythonfmask.org/ version: 0.5.7 - name: tesp url: https://github.com/OpenDataCubePipelines/tesp version: 0.14.2 - name: eodatasets3 url: https://github.com/GeoscienceAustralia/eo-datasets version: 0.29.2 ...